Meta-Imaging: from Non-Computational to Computational

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLi, Wenzhien_US
dc.contributor.authorQi, Jiaranen_US
dc.contributor.authorSihvola, Arien_US
dc.contributor.departmentDepartment of Electronics and Nanoengineeringen
dc.contributor.groupauthorAri Sihvola Groupen
dc.contributor.organizationHarbin Institute of Technologyen_US
dc.date.accessioned2020-11-30T08:20:48Z
dc.date.available2020-11-30T08:20:48Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2021-10-29en_US
dc.date.issued2020-12-03en_US
dc.descriptionAAM 12 kk embargo / mm
dc.description.abstractImaging equipment is one of the most powerful tools for the human to explore the world. Devices utilizing various portions of the electromagnetic spectrum are developed to reveal the fine details of objects and extend the sensing range. Recently, the advent of metamaterials/metasurfaces has significantly advanced the evolution of both imaging components and techniques. Many promising imaging methods based on metamaterials/metasurfaces arise owing to their superior spatial modulation capabilities over the electromagnetic waves. This review focuses on applications of metamaterials/metasurfaces in the electromagnetic/optical imaging, and summarizes the recent developments of metamaterial/metasurface imaging in a new perspective, which can be categorized into the non-computational and the computational ones. First, the purposes, principles, methodology of non-computational meta-imaging are presented, which covers the evanescent-wave-collecting lens with sub-diffraction-limited imaging potentials and the focal metalens with Fourier transformation functionalities. Second, the principles of various computational meta-imaging methodologies are elucidated, including mainly the Born approximation, the synthetic aperture radar, and the ghost imaging. Finally, a brief conclusion and prospects to meta-imaging will be provided.en
dc.description.versionPeer revieweden
dc.format.extent23
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLi, W, Qi, J & Sihvola, A 2020, 'Meta-Imaging : from Non-Computational to Computational', Advanced Optical Materials, vol. 8, no. 23, 2001000. https://doi.org/10.1002/adom.202001000en
dc.identifier.doi10.1002/adom.202001000en_US
dc.identifier.issn2195-1071
dc.identifier.otherPURE UUID: ed01a084-e036-4849-820b-3790af54e221en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/ed01a084-e036-4849-820b-3790af54e221en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/53089721/ELEC_Li_Qi_Sihvola_Meta_Imaging_AdvOptMat_2020_acceptedauthormanuscriptdf.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/61828
dc.identifier.urnURN:NBN:fi:aalto-2020113020673
dc.language.isoenen
dc.publisherWiley
dc.relation.fundinginfoThis work was partially supported by National Natural Science Foundation of China under Grant no. 61671178 and no. 61301013.
dc.relation.ispartofseriesAdvanced Optical Materialsen
dc.relation.ispartofseriesVolume 8, issue 23en
dc.rightsopenAccessen
dc.subject.keywordComputational imagingen_US
dc.subject.keywordImagingen_US
dc.subject.keywordMetamaterialsen_US
dc.subject.keywordMetasurfacesen_US
dc.titleMeta-Imaging: from Non-Computational to Computationalen
dc.typeA2 Katsausartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion

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